{"title":"Assessment of burden of prediabetes and diabetes with oral glucose tolerance test in community-based settings of Bengaluru rural district.","authors":"Gokul Sarveswaran, Vaitheeswaran Kulothungan, Sukanya Rangamani, Deepadarshan Huliyappa, Pruthvish Sreekantaiah","doi":"10.4103/jfmpc.jfmpc_9_24","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and objectives: </strong>Diabetes is a major public health concern in India. The majority of studies done in rural population lack systematic methodology in estimating the prevalence of diabetes mellitus. Objectives of this study were to estimate the burden of prediabetes, type 2 diabetes mellitus and its associated risk factors among adults (18-69) years in rural Bengaluru, Karnataka.</p><p><strong>Methods: </strong>A cross-sectional study was conducted among adults aged 18-69 years in three villages of Devanahalli taluk of rural Bengaluru between May and October 2019. Behavioural and metabolic risk factors related to diabetes were assessed using WHO-STEPS instrument and IDSP-NCD risk factor tool. Fasting blood glucose and OGTT test were performed, and WHO diagnostic criteria were used to diagnose diabetes mellitus.</p><p><strong>Results: </strong>Prevalence of prediabetes and type 2 diabetes (T2DM) in rural Bengaluru was found to be 6.3% and 10.9%, respectively. Behavioural risk factors related to diabetes measured in the study population were current tobacco use (32.7%), current alcohol use (9.9%), physical inactivity (46.8%) and unhealthy diet (82.3%). Metabolic risk factors measured were obesity (7.5%), central obesity (46.4%), prediabetes (6.3%) and hypertension (24.3%). More than one-thirds of diabetes and three-fourths of hypertension individuals were newly diagnosed by the population-based screening.</p><p><strong>Conclusion: </strong>The burden of diabetes and its risk factors are high due to the health transition occurring in rural population of Bengaluru. Undiagnosed diabetes mellitus and hypertension in rural population as demonstrated by this study highlight the need to strengthen the population-based screening and diagnosis of T2DM and hypertension (HTN) under the national health programme.</p>","PeriodicalId":15856,"journal":{"name":"Journal of Family Medicine and Primary Care","volume":"13 9","pages":"3806-3814"},"PeriodicalIF":1.1000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11504761/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Family Medicine and Primary Care","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/jfmpc.jfmpc_9_24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/11 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"PRIMARY HEALTH CARE","Score":null,"Total":0}
引用次数: 0
Abstract
Background and objectives: Diabetes is a major public health concern in India. The majority of studies done in rural population lack systematic methodology in estimating the prevalence of diabetes mellitus. Objectives of this study were to estimate the burden of prediabetes, type 2 diabetes mellitus and its associated risk factors among adults (18-69) years in rural Bengaluru, Karnataka.
Methods: A cross-sectional study was conducted among adults aged 18-69 years in three villages of Devanahalli taluk of rural Bengaluru between May and October 2019. Behavioural and metabolic risk factors related to diabetes were assessed using WHO-STEPS instrument and IDSP-NCD risk factor tool. Fasting blood glucose and OGTT test were performed, and WHO diagnostic criteria were used to diagnose diabetes mellitus.
Results: Prevalence of prediabetes and type 2 diabetes (T2DM) in rural Bengaluru was found to be 6.3% and 10.9%, respectively. Behavioural risk factors related to diabetes measured in the study population were current tobacco use (32.7%), current alcohol use (9.9%), physical inactivity (46.8%) and unhealthy diet (82.3%). Metabolic risk factors measured were obesity (7.5%), central obesity (46.4%), prediabetes (6.3%) and hypertension (24.3%). More than one-thirds of diabetes and three-fourths of hypertension individuals were newly diagnosed by the population-based screening.
Conclusion: The burden of diabetes and its risk factors are high due to the health transition occurring in rural population of Bengaluru. Undiagnosed diabetes mellitus and hypertension in rural population as demonstrated by this study highlight the need to strengthen the population-based screening and diagnosis of T2DM and hypertension (HTN) under the national health programme.